Classification at the accuracy limit: facing the problem of data ambiguity

HIGHLIGHTS

• who: Claus Metzner from the University Hospital have published the research: Classification at the accuracy limit: facing the problem of data ambiguity, in the Journal: Scientific Reports Scientific Reports
• what: In Fig 5, the authors determine the average accuracy of the three classifier types (See part 1 of the Methods section) for different combinations of the DSC control parameters. In this part the authors explore how certain non-linear transformations of the original features (that is, (x1, x2 ) -u2192 (f (x1 ), f (x2 ))) affect the classification accuracy. The authors investigate the cases f (x)=sin . . .
  

   

  

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